Published in SN Computer Science
Activation functions (AFs), which are pivotal to the success (or failure) of a neural network, have received increased attention in recent years, with researchers seeking to design novel AFs that improve some aspect of network performance. In this paper we take another direction, wherein we combine a slew of known AFs into successful architectures,...
Published in SN Computer Science
The transmission of patient records through communication networks requires techniques which guarantee the security and confidentiality of telemedicine means. This paper presents an improved robust blind medical image watermarking algorithm based on two dimensional discrete cosine transform (2D-DCT) and Zaslavsky chaotic map able to increase the si...
Published in SN Computer Science
The problem of classifying high-dimensional shapes in real-world data grows in complexity as the dimension of the space increases. For the case of identifying convex shapes of different geometries, a new classification framework has recently been proposed in which the intersections of a set of one-dimensional representations, called rays, with the ...
Published in SN Computer Science
Here we consider some well-known facts in syntax from a physics perspective, allowing us to establish analogies between both fields with many consequences. Mainly, we observe that the operation MERGE, put forward by Chomsky (in: Evolution and Revolution in Linguistic Theory, Essays in honor of Carlos Otero., eds. Hector Campos and Paula Kempchinsky...
Published in SN Computer Science
In this paper, we resort to the TensorFlow framework to investigate the benefits of applying data vectorization and fitness caching methods to domain evaluation in Genetic Programming. For this purpose, an independent engine was developed, TensorGP, along with a testing suite to extract comparative timing results across different architectures and ...
Published in SN Computer Science
Steganography is a technique of hiding information in digital media such as images, text, audio, etc. This digital media is used as the cover to make the private message invisible. Apparently, the attackers do not have any idea about the original message that is being hidden in the cover media. In this research, the proposed technique has focused o...
Published in SN Computer Science
The pandemic of novel Coronavirus Disease 2019 (COVID-19) is widespread all over the world causing serious health problems as well as serious impact on the global economy. Reliable and fast testing of the COVID-19 has been a challenge for researchers and healthcare practitioners. In this work, we present a novel machine learning (ML) integrated X-r...
Published in SN Computer Science
To remove Additive White Gaussian Noise (AWGN) from images using Cloud K-SVD, a collaborative dictionary learning algorithm. Cloud K-SVD is a dictionary learning algorithm that can train at multiple nodes and hereby produce a mutual dictionary to represent low-dimensional geometric structures in image data. We present a novel application of the alg...
Published in SN Computer Science
The use of internet has increased significantly in the COVID-19 pandemic, and this has set the ground for various cyber-attacks, which are executed over the network during data transmission. This scenario is proven to be multifold for accessing the cloud remotely deployed in university premises. To provide secure authentication and compatibility ov...
Published in SN Computer Science
Traffic rules are essential and part of today’s road safety education programs at school. However, learning how to properly use attention in complex traffic situations has never before been a focus when teaching pupils. A new road safety education program based on latest findings in Neuro-Education has been developed. In the program, pupil learned ...
